Principal Machine Learning Engineer, Lime
SKILLS
FULL DESCRIPTION
Principal Machine Learning Engineer, [Employer hidden — view at passion-project.co.uk]
Company: [Employer hidden]
Location: Remote from US
Salary: $240-330k + Equity and bonus
Experience Level: Senior and Expert level
Job Type: Full-time
Work Type: Remote
About the Role
[Employer hidden] is hiring a Principal Machine Learning Engineer to join the Data Science & Analytics team and build our Machine Learning Center of Excellence. In this role, you will be a senior individual contributor reporting to the Head of Data and partnering with senior software engineering leadership across [Employer hidden]’s technology teams. This role will be responsible for shaping how machine learning is built, deployed, and operated across [Employer hidden]. You will set technical direction and standards for ML infrastructure, featured development, and model lifecycle management. This role blends deep hands-on work with significant cross-team leadership and influence.
What You'll Do
- Drive alignment across teams on ML strategy, standards, and long-term technical direction by serving as a technical leader for [Employer hidden]’s ML Center of Excellence
- Guide recommendations for ML infrastructure, tooling, and architecture (training, serving, feature stores, experimentation, monitoring)
- Define and evolve ML development processes, including model review, experimentation rigor, deployment, optimization, and operations
- Establish best practices for ML monitoring, observability, alerting, and model performance health in production
- Drive reusable feature development patterns and shared ML capabilities that enable teams to move faster and more safely
- Partner with platform, data, and product engineering teams to ensure ML systems are reliable, scalable, and cost effective
- Identify and prioritize opportunities where ML will improve [Employer hidden]’s product, operations, or efficiency
- Act as a force multiplier by mentoring data scientists and machine learning engineers, raising the quality bar for machine learning across [Employer hidden]
Who You Are
- 8+ years of professional experience in software engineering or applied ML, with a record of delivering production level systems
- Fluency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (e.g. SQL, pandas, spark, airflow)
- Strong foundation in ML fundamentals, including model evaluation, experimentation, optimization, production deployment, and operations
- Strong system design skills and comfort working with distributed systems
- Track record of influencing ML architecture and practices across multiple teams
Desirable
- Background in domains relevant to [Employer hidden] (e.g., forecasting, optimization, pricing, marketplace dynamics)
- Prior experience building a ML platform or center of excellence through defining ML standards, governance, or shared tooling at scale
About [Employer hidden]
Electric bike and scooter rentals
1001+ employees
B2C
Transport
Mobility
Application Instructions
Apply